Classification method of seven-stage power grid asset groups based on sale associated equipment neurons

• Main Authors: ZHANG CHUN, LU XIAODONG, CAI ZHONGHAO, WU XIHAN, WANG HONGWEI, CHEN QIZHONG, LI YINGHUI, YIN FENGHUA, CAO WEIXIN, CHEN JUN
• Format: Patent
• Language: English
• Published: 09.12.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a classification method of seven-stage power grid asset groups based on sale associated equipment neurons. For the types of power grid power supply networks at present, power is transmitted from 220KV through 110KV, 35KV and 10KV four-stage power transformation and distribution to terminal clients, and that is to say, a plurality of 110KV lines are output from a backbone network 220KV transformer substation, and each 110KV line supports a plurality of 110KV transformer substations; then a plurality of 35KV lines are output from a 110KV transformer substation, and each 35KV line supports a plurality of 35KV transformer substations; and finally, a plurality of 10KV lines are output from a 35KV transformer substation, each 10KV line supports a plurality of 10KV transformer substation districts, and one to seven stages of asset groups are formed in sequence. The classification method is convenient and scientific, and by adopting the classification method, the power grid asset division and the power grid asset management can be more scientific and effective.